Jayan Eledath

Papers

Total Citations

H-Index

About

Jayan Eledath is a leading researcher in autonomous systems, with a focus on real-time perception for mobile robotics and intelligent vehicles. His work centers on developing low-cost, vision-based sensing and LIDAR processing architectures that enable robots and vehicles to navigate complex environments without human intervention. Eledath made a major contribution with his novel LIDAR streaming architecture, which introduced a two-level 3D data structure for pipelined, on-board processing—a key advance for real-time structure characterization from moving robots. He also led the development of a vision-based perception system for autonomous urban navigation, integrating driver awareness algorithms with commercial hardware to demonstrate self-driving capability in traffic. His research on LIDAR-based door and stair detection further advanced real-time object recognition for unmanned vehicles in indoor settings. While his citation counts (12, 8, and 3 for his most-cited papers) reflect a niche but impactful body of work, Eledath’s contributions are notable for their practical, systems-level approach—bridging algorithm design and hardware integration to push autonomous navigation from concept toward deployment.